CN111024904A - Indoor air quality detection device and method - Google Patents
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Abstract
The invention discloses an indoor air quality detection device and method, which respectively obtain first air information data and second air information data by analyzing original data detected by a first detection unit and a second detection unit, an alarm unit receives data transmitted by a data analysis unit and compares the data to judge whether the data meet the data standard of a detected object, if the data do not meet the data standard, the alarm unit transmits alarm information to a client, a data calibration unit analyzes and compares the first air information data and the second air information data to judge whether the data deviation of each detected object between the first air information data and the second air information data is within a preset range, if the data deviation is within the preset range, a comparison conclusion is provided to the client through a network, and if the data deviation is not within the preset range, the comparison conclusion is transmitted to a cloud server through the network. Through the arrangement, automatic detection and correction of air can be realized, the automation is high, detection data can be acquired from multiple channels, and the application range is wide.
Description
[ technical field ] A method for producing a semiconductor device
The invention relates to an indoor air quality detection device and method, in particular to an indoor air quality detection device with a correction function and a method.
[ background of the invention ]
With the improvement of living standard of people, people are concerned about the air quality which is closely related to life in life, and the problem of indoor air quality is also a global topic. According to the WHO statistics of the world health organization, 160 million people die due to pneumonia, chronic respiratory diseases and lung cancer caused by indoor air pollution all over the world, and the burden of diseases caused by indoor air pollution is 5 times higher than that caused by outdoor air pollution. According to statistics of related departments in recent years, the number of deaths caused by indoor air pollution in China reaches 11.1 ten thousand every year, and thus detection and treatment of indoor air quality become a problem to be solved urgently.
At present, the detection of air quality is more and more diversified, the industry also begins to devote to applying internet thinking to combine software and hardware together, so as to provide the relevant data of the environmental quality concerned by the client, in the prior art, researchers mostly electronize a large amount of paper edition data, waste a large amount of cost, even if automatic air detection equipment appears at present, the function is also very single, and the equipment such as a GPS is applied, which consumes power and affects the service life of a battery, and the cost is high, so that a multifunctional air detection device with a correction function is urgently needed to solve the problems.
[ summary of the invention ]
In order to solve the problems, the invention provides an indoor air quality detection device and method.
In order to achieve the purpose, the invention provides the following technical scheme:
the utility model provides an indoor air quality detection device which characterized in that connects a customer end at least, indoor air quality detection device includes: the system comprises an air sampling unit, a first air detection unit, a second air detection unit, a data transmission unit, a data storage unit, a data analysis unit, a data calibration unit, a cloud server and an alarm unit;
the air sampling unit is communicated with the first air detection unit and is used for collecting air in a detection area;
the first air detection unit is in data connection with the data transmission unit, the data storage unit and the client, and is used for detecting the air collected by the air sampling unit to obtain first original data of the detected air;
the second air detection unit is in data connection with the data transmission unit, the data storage unit and the client, and is used for directly detecting the air quality around the indoor air quality detection device to obtain second original data;
the data transmission unit is in data connection with the data storage unit and is used for transmitting the first original data and the second original data to the data storage unit;
the data analysis unit is in data connection with the data storage unit, the data calibration unit and the alarm unit, and analyzes the first original data received by the data storage unit to generate first air intelligence data; the data analysis unit analyzes the second original data received by the data storage unit to generate second air information data; the data analysis unit transmits the first air information data and the second air information data to the cloud server, the data calibration unit and the alarm unit; the data analysis unit is connected with the cloud server through a network;
the alarm unit receives and compares the data transmitted by the data analysis unit, judges whether the data meet the detection data standard, and transmits alarm information containing an overproof report to the client through the network if the data do not meet the detection data standard.
The data calibration unit analyzes and compares the first air information data and the second air information data, judges whether the detection data in the first air information data and the second air information data are within a detection data deviation range, provides a comparison conclusion to the client through a network if the detection data are within the detection data deviation range, and transmits the comparison conclusion to the cloud server through the network if the detection data are not within the detection data deviation range; the client can download data from the cloud server through the network.
In the technical scheme, the first air detection unit and the second air detection unit and the data transmission unit and the data storage unit, the data storage unit and the data analysis unit, and the data analysis unit and the alarm unit and the data calibration unit can be electrically connected or connected through a network, so that the whole detection process is highly automated, the detection time is short, and the efficiency is high.
In the technical scheme, the area position detected by the first air detection unit and the area position detected by the second air detection unit are different but are in the same room, when the detection data of the first air detection unit and the detection data of the second air detection unit are within a preset detection data deviation range, a comparison conclusion is transmitted to the client, if the detection data are not within the preset detection data deviation range, the comparison conclusion is transmitted to the cloud server through a network, whether the air detection data of different indoor areas are consistent or not is judged to determine whether the indoor air detection data are stable or not, whether the detection data are transmitted to the client to be used as formal detection data or not is judged, and the air quality detection device with the correction function enables the indoor air detection data to be more real and reliable. Meanwhile, when the calibration unit judges that at least one detection data of the first air information data and the second air information data is not in a preset detection data deviation range, the calibration unit can directly transmit a comparison conclusion to the cloud server through the network, and the client can directly download the comparison conclusion, the first air condition data and the second air condition data from the cloud server for use as research reference, so that the utilization rate of the detection data is greatly increased, and experimental data and experience are accumulated for scientific research of air quality problems.
In the technical scheme, the alarm unit can transmit the alarm information of the overproof data in the first air information data and the second air information data to the client, the client can clearly know which monitored object data in the first air information data and the second air information data are superscripted and which monitored object data are not superscripted through the received alarm information, and the alarm information can directly form a report for research reference, so that the overproof condition of the detected data can be directly obtained while the detected data result is obtained, the detection and analysis are more detailed and multifaceted, and the experience is better.
As a preferred embodiment, further defined is: the first air intelligence data comprises detection data of at least one of humidity, temperature, formaldehyde, PM2.5, CO, NO2, SO2, radon gas, ammonia, toluene, xylene, ozone and volatile organic compounds in the air; the second air intelligence data includes detection data of at least one of humidity, temperature, formaldehyde, PM2.5, CO, NO2, SO2, radon gas, ammonia, toluene, xylene, ozone, and volatile organic compounds in the air.
As a preferred embodiment, further defined is: the calibration unit is internally provided with a detection data deviation range of at least one of humidity, temperature, formaldehyde, PM2.5, CO, NO2, SO2, radon gas, ammonia, toluene, xylene, ozone and volatile organic compounds; the calibration unit judges whether the detection data of at least one of the humidity, the temperature, the formaldehyde, the PM2.5, the CO, the NO2, the SO2, the radon gas, the ammonia, the toluene, the xylene, the ozone and the volatile organic compounds in the air is in the detection data deviation range, and if the detection data is in the detection data deviation range, a comparison conclusion is provided to the client through a network.
As a preferred embodiment, further defined is: the alarm unit is internally provided with detection data standards of at least one of humidity, temperature, formaldehyde, PM2.5, CO, NO2, SO2, radon gas, ammonia, toluene, xylene, ozone and volatile organic compounds; the alarm unit judges whether the detection data of at least one of the humidity, the temperature, the formaldehyde, the PM2.5, the CO, the NO2, the SO2, the radon gas, the ammonia, the toluene, the xylene, the ozone and the volatile organic compounds in the air transmitted by the data analysis unit meet the detection data standard, if the detection data standard is met, the alarm unit does not act, and if the detection data standard is not met, the alarm unit sends alarm information to the client.
In the above technical solution, the number of detection data parameters in the air is very large, and the detection data parameters are not limited to the above listed detection data parameters, and a user can flexibly set the detection data parameters and data indexes at the client according to needs, so that the indoor air detection device has various and friendly functions.
As a preferred embodiment, further defined is: the first air detection unit and the second air detection unit are respectively in data connection with the client, and the first air detection unit comprises:
the first air detection device is used for detecting the air quality of the air sampling unit so as to generate first original data;
the first raw data storage device is in data connection with the first air detection device and is used for storing the first raw data;
the second air detection unit includes:
an air injector for collecting air around the indoor air quality detection device;
the second air detection device is used for detecting the air quality of the air sampling unit so as to generate second original data;
and the second original data storage device is in data connection with the first air detection device and is used for storing the second original data.
As a preferred embodiment, further defined is: the data analysis unit analyzes the first original data and the second original data from the data storage unit to respectively obtain the first air information data and the second air information data, and can transmit the obtained first air information data and the second air information data to a cloud server through a network.
The first air detection unit and the second air detection unit are respectively in electric connection or network connection with the client, so that detection data cannot be found when a subsequent unit fails, the client can search and download the detection data in multiple directions in an irresistible force environment, and the indoor air quality detection device is higher in adaptability;
in the technical scheme, when the follow-up unit has a fault, the client can directly search and download the detection data from the first air detection unit and the second air detection unit and analyze the downloaded detection data at the client to obtain a report and a conclusion, and the device has stronger adaptability and higher working efficiency due to the function of searching and downloading the detection data in multiple directions.
In the above technical solution, the air sampling unit may be provided in plurality, and the number and the positions of the first air detection devices in the first air detection unit correspond to those of the air sampling unit, so that the indoor air quality can be detected at multiple points. The air detection device is characterized in that only one air detection point of the second air detection unit is arranged, whether data deviation is within a preset range or not is compared one by one through data detected by the second air detection unit and data detected by a plurality of positions of the first air detection unit, a stability conclusion of indoor air is obtained, whether detection is effective or not is determined according to the stability conclusion, the arrangement enables air detection data to be more real and reliable, and multi-point detection can greatly improve detection efficiency.
A method of indoor air detection, comprising the steps of:
s1, setting the detection data standard; setting the deviation range of the detection data in the first air information data and the second air information data;
s2, the first air detection unit detects the air collected by the air sampling unit to obtain the first original data; after the second air detection unit samples air, the second air detection unit detects the sampled air to obtain second original data;
s3, the data transmission unit transmits the first original data and the second original data to the data storage unit for storage;
s4, the data analysis unit analyzes the first raw data and the second raw data stored in the data storage unit to obtain the first air condition data and the second air information data, and the data analysis unit transmits the obtained first air information data and the obtained second air information data to the cloud server, the data calibration unit and the alarm unit;
s5, the alarm unit compares the first air intelligence data and the second air intelligence data received from the data analysis unit with the detection data standard respectively, and judges whether the first air intelligence data and the second air intelligence data meet the detection data standard, if not, the alarm unit sends alarm information to the client;
and S6, the data calibration unit analyzes and compares the first air intelligence data and the second air intelligence data, judges whether the detection data in the first air intelligence data and the second air intelligence data is in the detection data deviation range, and provides the comparison conclusion to the client through the network if the detection data is in the detection data deviation range.
In the technical scheme, the detection data standard and the detection data deviation range can be set in advance, so that the data can be flexibly set according to different standards for air quality in different places, and the air quality detection device in the technical scheme has the advantages of wider application range and higher utilization rate.
As a preferred embodiment, further defined is: the air detected by the first air detection unit is collected by the air sampling unit inlet in the indoor air quality detection device, and the air detected by the second air detection unit is positioned around the indoor air quality detection device and is 2-5 meters away from the air sampling unit inlet; the data detected by the first air detection unit and the second air detection unit are a stable value or a fluctuation value in an expected range of the detected data within the same period of time, and the detection environment of the first air detection unit and the second air detection unit is an indoor closed space which is continuous for 12 hours.
As a preferred embodiment, further defined is: an instruction receiving step is included between the steps S3 and S4, so that the data analysis unit receives an instruction from the client, and determines to analyze and compare at least one of the first raw data and the second raw data according to the instruction to obtain corresponding air intelligence data.
And if the data analysis unit does not receive the instruction from the client within a certain time, the data analysis unit automatically analyzes the first original data and the second original data to respectively obtain the first air information data and the second air information data.
As a preferred embodiment, further defined is: the detection data is at least one of humidity, temperature, formaldehyde, PM2.5, CO, NO2, SO2, radon gas, ammonia, toluene, xylene, ozone and volatile organic compounds in the air.
The beneficial effects of the invention are as follows:
1. the first air detection unit and the second air detection unit can be electrically connected with the data transmission unit and the data storage unit, the data storage unit can be electrically connected with the data analysis unit, the data analysis unit can be electrically connected with the alarm unit and the data calibration unit, and the data analysis unit can also be connected with the alarm unit and the data calibration unit through a network.
2. The area position detected by the first air detection unit and the area position detected by the second air detection unit are different but are in the same room, when the deviation of the two detection data is in a preset detection data deviation range, a comparison conclusion is transmitted to the client, if the deviation of the two detection data is not in the preset detection data deviation range, the comparison conclusion is transmitted to the cloud server through a network, whether the air detection data of different indoor areas are consistent or not is judged to determine whether the indoor air detection data are stable or not, whether the detection data are transmitted to the client to be used as formal detection data or not is judged, and the air quality detection device with the correction function enables the indoor air detection data to be more real and reliable. Meanwhile, when the calibration unit judges that the deviation of at least one detection data in the first air information data and the second air information data is not within a preset detection data deviation range, the calibration unit directly transmits a comparison conclusion to a cloud server through a network, and the client can directly download the comparison conclusion, the first air condition data and the second air condition data from the cloud server for use as research references, so that the utilization rate of the detection data is greatly increased, and experimental data and experience are accumulated for scientific research of air quality problems;
3. the alarm unit transmits the alarm information of the overproof data in the first air information data and the second air information data to the client, the client can clearly know which monitored object data in the first air information data and the second air information data are overproof and which monitored object data are not overproof through the received alarm information, the alarm information can be directly formed into a report for research reference, the detected data result is obtained, the overproof condition of the detected data is directly obtained, the detection and analysis are more detailed and multifaceted, and the experience is better;
4. the detection data standard and the detection data deviation range can be set in advance, so that the data can be flexibly set according to different air quality standards in different places, and the air quality detection device in the technical scheme has wider application range and higher utilization rate;
5. when the follow-up unit has a fault, the client can directly search and download the detection data from the first air detection unit and the second air detection unit and analyze the downloaded detection data at the client to obtain a report and a conclusion, and the device has the advantages of stronger adaptability and higher working efficiency due to the function of searching and analyzing the detection data in multiple directions.
[ description of the drawings ]
FIG. 1 is a block diagram of an air quality detection device of the present invention;
FIG. 2 is a flow chart of a first embodiment of the air quality detection method of the present invention;
fig. 3 is a flow chart of a second embodiment of the air quality detection method of the present invention.
[ detailed description ] embodiments
The invention is described in further detail below with reference to the following figures and detailed description:
fig. 1 is a block diagram of an air quality detection apparatus according to the present invention, in which the air sampling unit is communicated with the first air detection unit, and the air sampling unit is used for collecting air in a detection area;
the first air detection unit is in data connection with the data transmission unit, the data storage unit and the client and is used for detecting the air collected by the air sampling unit to obtain first original data of the detected air; the second air detection unit is in data connection with the data transmission unit, the data storage unit and the client, and is used for directly detecting the air quality around the indoor air quality detection device to obtain second original data;
the data transmission unit is in data connection with the data storage unit and is used for transmitting the first original data and the second original data to the data storage unit;
the data analysis unit is in data connection with the data storage unit, the data calibration unit and the alarm unit, classifies and compares first original data received by the data storage unit, analyzes the first original data to generate first air information data, analyzes second original data received by the data storage unit to generate second air information data, and transmits the first air information data and the second air information data to the cloud server, the data calibration unit and the alarm unit; the data analysis unit is connected with the cloud server through a network;
the alarm unit receives the data transmitted by the data analysis unit for comparison, judges whether the data meets the detection data standard, and if the data does not meet the detection data standard, the alarm unit transmits alarm information containing an overproof report to the client through the network.
The data calibration unit analyzes and compares the first air information data and the second air information data, judges whether each detection data in the first air information data and the second air information data is within a preset detection data deviation range, provides a comparison conclusion to the client through a network if the detection data deviation is within the preset detection data deviation range, and transmits the comparison conclusion to the cloud server through the network if at least one detection object data deviation is not within the preset detection data deviation range; the client can download data from the cloud server through the network.
It should be noted here that the first air detection unit and the second air detection unit are in the same room, and the distance therebetween is flexibly set according to the indoor environment and the detection requirement.
In the air quality detection device, the first air detection unit and the second air detection unit can be electrically connected with the data transmission unit and the data storage unit, the data storage unit can be electrically connected with the data analysis unit, and the data analysis unit can be electrically connected with the alarm unit and the data calibration unit, and can also be connected with a network, so that the whole detection process is highly automated, data are transmitted in real time, and the efficiency is high.
In the air quality detection device, the area position detected by the first air detection unit and the area position detected by the second air detection unit are different but are in the same room, when the deviation of the two detection data is in a preset range, the comparison conclusion is transmitted to the client, if the deviation is not in the preset range, the comparison conclusion is transmitted to the cloud server through the network, whether the air detection data of different indoor areas are consistent or not is judged to determine whether the indoor air detection data are stable or not, whether the detection data are transmitted to the client to be used as formal detection data or not is judged, and the air quality detection device with the correction function enables the indoor air detection data to be more real and reliable. Meanwhile, when the calibration unit judges that the deviation of at least one detection data in the first air information data and the second air information data is not within a preset detection data deviation range, the calibration unit can directly transmit a comparison conclusion to the cloud server through the network, and the client can directly download the comparison conclusion, the first air condition data and the second air condition data from the cloud server for use as research references, so that the utilization rate of the detection data is greatly increased, and experimental data and experience are accumulated for scientific research of air quality problems.
In this air quality detection device, the alarm unit can with first air information data with exceed standard data alarm information among the second air information data conveys the customer end, can know at a glance through the alarm information of receipt on the customer end which monitoring object data in first air information data with in the second air information data exceeds the standard, which monitoring object data do not exceed the standard, and can with alarm information directly forms the report and supplies research reference, directly obtains the data condition that exceeds the standard again when obtaining the data detection result, and the detection and analysis is more meticulous and multiaspect, and experience nature is better.
Further, the first air information data includes at least one detection data of the humidity, temperature, formaldehyde, PM2.5, CO, NO2, SO2, radon gas, ammonia, toluene, xylene, ozone, volatile organic compounds and the like in the air; the second air information data includes detection data of at least one of humidity, temperature, formaldehyde, PM2.5, CO, NO2, SO2, radon gas, ammonia, toluene, xylene, ozone, volatile organic compounds and the like in the air.
Further, the calibration unit determines whether a detected data deviation of at least one of humidity, temperature, formaldehyde, PM2.5, CO, NO2, SO2, radon gas, ammonia, toluene, xylene, ozone, and volatile organic compounds in the air is within a preset detected data deviation range, and provides a comparison result to the client through a network if the detected data deviation is within the preset detected data deviation range.
Further, the alarm unit judges whether the detection data of at least one of the humidity, the temperature, the formaldehyde, the PM2.5, the CO, the NO2, the SO2, the radon gas, the ammonia, the toluene, the xylene, the ozone and the volatile organic compounds in the air transmitted by the data analysis unit meet the detection data standard, if SO, the alarm unit does not act, and if not, the alarm unit transmits out-of-range alarm information to the client.
In the air quality detection device, the number of detection data parameters in the air is very large, and the detection data parameters are not limited to the detection data parameters listed above, and a user can flexibly set the detection data parameters and the data indexes at the client according to needs, so that the indoor air detection device has various and friendly functions.
Furthermore, the first air detection unit and the second air detection unit are respectively in electric connection or network connection with the client, so that detection data cannot be found when a subsequent unit fails, the client can search and download the detection data in multiple directions in an irresistible force environment, and the indoor air quality detection device is higher in adaptability; the first air detection unit includes:
the first air detection device is used for detecting the air quality of the air sampling unit so as to generate first original data;
the first raw data storage device is in data connection with the first air detection device and is used for storing the first raw data;
the second air detection unit includes:
an air injector for collecting air around the indoor air quality detection device;
the second air detection device is used for detecting the air quality of the air sampling unit so as to generate second original data;
and the second original data storage device is in data connection with the first air detection device and is used for storing the second original data.
The data analysis unit analyzes the first original data and the second original data from the data storage unit to respectively obtain the first air information data and the second air information data, and can transmit the obtained first air information data and the second air information data to a cloud server through a network.
It should be noted that, in the present air quality detection apparatus, when a subsequent unit fails, the client may directly search and download the detection data from the first air detection unit and the second air detection unit and may analyze the downloaded detection data at the client to obtain a report and a conclusion, and this function of searching and downloading the detection data in multiple directions makes the apparatus more adaptable and more efficient.
In the air quality detection device, the number of the air sampling units can be multiple, the number and the positions of the first air detection devices in the first air detection units correspond to those of the air sampling units, and the indoor air quality can be detected at multiple points. The air detection device is characterized in that only one air detection point of the second air detection unit is arranged, the data deviation is compared with the data detected at a plurality of positions of the first air detection unit one by one to judge whether the indoor air is stable or not, and whether the detection is effective or not is determined according to the judgment whether the indoor air is stable or not.
Fig. 2 is a flow chart of a first embodiment of the air quality detection method of the present invention, which comprises the following specific detection steps:
s1, setting the detection data standard; setting the deviation range of the detection data in the first air information data and the second air information data;
s2, the first air detection unit detects the air collected by the air sampling unit to obtain the first original data; after the second air detection unit samples air, the second air detection unit detects the sampled air to obtain second original data;
s3, the data transmission unit transmits the first original data and the second original data to the data storage unit for storage;
s4, the data analysis unit analyzes the first raw data and the second raw data stored in the data storage unit to obtain the first air condition data and the second air information data, and the data analysis unit transmits the obtained first air information data and the obtained second air information data to the cloud server, the data calibration unit and the alarm unit;
s5, the alarm unit compares the first air intelligence data and the second air intelligence data received from the data analysis unit with the detection data standard respectively, and judges whether the first air intelligence data and the second air intelligence data meet the detection data standard, if not, the alarm unit sends alarm information to the client;
and S6, the data calibration unit analyzes and compares the first air intelligence data and the second air intelligence data, judges whether the detection data in the first air intelligence data and the second air intelligence data is in the detection data deviation range, and provides the comparison conclusion to the client through the network if the detection data is in the detection data deviation range.
In the air quality detection method, the detection data standard and the detection data deviation range can be set in advance, so that the data can be flexibly set according to different standards of air quality of different places in each region, and the air quality detection device in the technical scheme has wider application range and higher utilization rate. In the air quality detection method, the set data standard value is in accordance with the national standard and the standard of each region on the aspect of atmospheric environment protection and the limit standard of toxic and harmful substances in workplaces.
Further, the air detected by the first air detection unit is collected by the air sampling unit inlet in the indoor air quality detection device, the air detected by the second air detection unit is located around the indoor air quality detection device, the distance from the air sampling unit inlet can be flexibly set according to different requirements of different places, and in the embodiment, the distance between the second air detection unit and the air sampling unit inlet is set to be 2-5 meters; the data detected by the first air detection unit and the second air detection unit are a stable value or a fluctuation value in an expected range of the detected data within the same period of time, and the detection environment of the first air detection unit and the second air detection unit is an indoor closed space which is continuous for 12 hours.
In this embodiment, the detection environment condition can also be flexibly set according to different requirements of different places.
FIG. 3 is a flow chart of a second embodiment of the air quality detecting method of the present invention, wherein a step S7 is provided between the step S3 and the step S4: the data analysis unit receives an instruction from the client, and determines to analyze and compare at least one of the first original data and the second original data according to the instruction to obtain corresponding air information data.
Specifically, if the data analysis unit does not receive an instruction from the client within a certain time, the data analysis unit automatically analyzes the first raw data and the second raw data to obtain the first air information data and the second air information data, respectively; the data analysis unit can also be directly set to automatically analyze all the original data so as to meet different requirements of air quality detection in different places.
In the above embodiments, the detection data includes, but is not limited to, at least one of humidity, temperature, formaldehyde, PM2.5, CO, NO2, SO2, radon gas, ammonia, toluene, xylene, ozone, and volatile organic compounds in the air.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111830210A (en) * | 2020-07-30 | 2020-10-27 | 广州交信投科技股份有限公司 | Air quality monitoring method, device and system and computer equipment |
| CN120161175A (en) * | 2025-04-27 | 2025-06-17 | 天津海泰建工工程质检有限公司 | Indoor air intelligent detection and management system based on construction engineering |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090048781A1 (en) * | 2006-03-10 | 2009-02-19 | Yiu Wai Chan | Method and device for environmental monitoring |
| CN105301196A (en) * | 2015-11-03 | 2016-02-03 | 腾讯科技（深圳）有限公司 | Air quality detection device, and air quality data processing method and device |
| CN107687994A (en) * | 2016-08-03 | 2018-02-13 | 讯舟科技股份有限公司 | air detection system and method |
| CN207662867U (en) * | 2017-11-20 | 2018-07-27 | 广州奥松电子有限公司 | A kind of VOC sensor devices |
| CN109324152A (en) * | 2018-09-17 | 2019-02-12 | 湖南中南楷思科技发展有限公司 | A kind of room air detection system and its method |
| CN110081923A (en) * | 2019-05-16 | 2019-08-02 | 中国人民解放军战略支援部队信息工程大学 | Field baseline environmental parameter automated collection systems fault detection method and device |
-
2019
- 2019-12-31 CN CN201911411462.1A patent/CN111024904A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090048781A1 (en) * | 2006-03-10 | 2009-02-19 | Yiu Wai Chan | Method and device for environmental monitoring |
| CN105301196A (en) * | 2015-11-03 | 2016-02-03 | 腾讯科技（深圳）有限公司 | Air quality detection device, and air quality data processing method and device |
| CN107687994A (en) * | 2016-08-03 | 2018-02-13 | 讯舟科技股份有限公司 | air detection system and method |
| CN207662867U (en) * | 2017-11-20 | 2018-07-27 | 广州奥松电子有限公司 | A kind of VOC sensor devices |
| CN109324152A (en) * | 2018-09-17 | 2019-02-12 | 湖南中南楷思科技发展有限公司 | A kind of room air detection system and its method |
| CN110081923A (en) * | 2019-05-16 | 2019-08-02 | 中国人民解放军战略支援部队信息工程大学 | Field baseline environmental parameter automated collection systems fault detection method and device |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111830210A (en) * | 2020-07-30 | 2020-10-27 | 广州交信投科技股份有限公司 | Air quality monitoring method, device and system and computer equipment |
| CN120161175A (en) * | 2025-04-27 | 2025-06-17 | 天津海泰建工工程质检有限公司 | Indoor air intelligent detection and management system based on construction engineering |
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